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Simulation Method for Reliability Prediction of Switching Power Supply injected with PoF Model

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Switching power supplies are widely used in aerospace, new energy and many other fields. During long-term operation, various electronic components in these supplies experience performance degradation due to continuous electrical and thermal stress, leading to changes in output characteristics. This is the fundamental reason affecting the reliability of switching power supplies. However, the current combination of physics of failure (PoF) models and simulation technique is imperfect, and most methods cannot achieve batch injection of multiple device failures. This paper proposes a reliability prediction simulation method for switching power supplies based on PoF model injection. By focusing on a switching circuit, the approach involves digital twin modeling and validation, failure mechanism and sensitivity analysis, key failure components degradation modeling, and batch degradation simulation. This method achieves continuous degradation data of multiple components based on the PoF model through batch injection, improving the efficiency and accuracy of reliability prediction for switching power supplies.

Original languageEnglish
Title of host publication2024 6th International Conference on System Reliability and Safety Engineering, SRSE 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-57
Number of pages7
ISBN (Electronic)9798350356083
DOIs
StatePublished - 2024
Event6th International Conference on System Reliability and Safety Engineering, SRSE 2024 - Hangzhou, China
Duration: 11 Oct 202414 Oct 2024

Publication series

Name2024 6th International Conference on System Reliability and Safety Engineering, SRSE 2024

Conference

Conference6th International Conference on System Reliability and Safety Engineering, SRSE 2024
Country/TerritoryChina
CityHangzhou
Period11/10/2414/10/24

Keywords

  • Batch simulation
  • Digital twin model
  • Physics of failure model
  • Reliability prediction
  • Switching power supply

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